- Understand the business case and translate to a holistic solution involving AWS Cloud Services , PySpark , EMR, Python , Data Ingestion and Cloud DB Redshift / Postgres
- PL/SQL development for high volume data sets.
- Proven experience with large, complex database or data lake projects in environments producing high-volume data
- Demonstrated problem solving skills; familiarity with various root cause analysis methods; experience in documenting identified problems and determined resolutions.
- Communication with stakeholders and business partners across all worldwide locations.
- Understanding and aligning business partners across locations doing requirements engineering and business case mapping.
- Leading projects : Working on complex, cross-functional projects, and acting as a subject matter expert
- Designing data platforms : Creating secure, stable, and scalable data collection, storage, access, and analytics platforms
- Developing documentation : Creating functional and technical documentation that supports best practices
- Experience in preparing data warehouse design artifacts based on given requirements (ETL framework design, data modeling, source-target-mapping),
- Interaction with Data Governance teams - aligning on data models, lineage and relationships.
- Data Analysis & Engineering for data aggregation and curation
- Interfacing with architecture team, cloud engineering teams and vendors on designing state of the art solutions.
- Makes recommendations regarding enhancements and/or improvements
- Provides appropriate consulting , interfacing, and standards relating to database management,



and monitors transaction activity and utilization .
- Performance issues analysis and t uning , optimization opportunities
- Data Warehouse design and development, including logical and physical schema design.

Other Responsibilities :

- Customer/stakeholder focus. Ability to build solid relationships with Application teams, cross functional IT and global/local IT teams - as well as interfacing with vendors ( e. g. AWS)
- Advising junior engineers & Build Team : Providing guidance to junior engineers and ETL Build team and BI/Analytics teams

Required Qualifications :

- Bachelor or master s degree . Preferably in information technology or e lectrical e ngineering - but since job focus on business interaction also background in other fields is welcome.
- Proven experience ( 10 year minimum) with data engineering, analytics , design and optimization.
- Very good knowledge of data architecture approaches and trends, and high interest to apply and further develop that knowledge, including understanding of OLAP/OLTP, ML, genAI , modelling , statistics .
- Problem solving experience & analytics skills - e. g. with L6S curriculum (green/black belt)
- Good experience in AWS Services, Big data, PySpark , EMR,Python , Cloud DB RedShift
- Proven experience with large,



complex data projects in environments producing high-volume data,
- Proficiency in SQL and PL/SQL
- Excellent conceptual abilities pared with very good technical documentation skills, e. g. ability to understand and document complex data flows as part of business / production processes,
- Familiarity with SDLC concepts and processes
- Translate business requirements into technical specifications. This involves critical thinking, problem-solving, and the capacity to work with large datasets.

Additional Skill :

- Experience using and developing on AWS services , AWS certification, AWS Solutions Architect
- Proficiency in programming languages such as Python, PySpark , SQL, Java, C++ is highly recommended.
- Understanding of machine learning and AI technologies is becoming increasingly important for data architects
- Experience in semiconductor industry,
- Knowledge of Semistructured datasets
- Experience with reporting data solutions and business intelligence tools
- Experience in collecting, structuring and summarizing requirements in a data warehouse environment,
- Knowledge of statistical data analysis and data mining,
- Experience in test management, test case definition and test processes

Preferred Qualifications :

- Bachelor s or master s degree with Minimum 7 . . 10 Years Exp
- AWS Cloud Services, PySpark , EMR, Python , Cloud DB Redshift / Postgres and Data Ingestion
- Experience in preparing Data Warehouse design (ETL framework design, data modeling, source-target-mapping)
- Problem Solving methodologies

📌 Sr Data Product Engineer (Bengaluru)
🏢 Globalfoundries
📍 Bengaluru